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  1. AU="Angerbauer, Katrin"
  2. TI=Pharmacotherapy in Coronavirus Disease 2019 and Risk of Secondary Infections: A Single Center Case Series and Narrative Review

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  1. Buch ; Online ; Dissertation / Habilitation: Investigating the effect of priming on reading performance on electronic devices

    Angerbauer, Katrin

    2015  

    Verfasserangabe Katrin Angerbauer
    Sprache Englisch
    Umfang Online-Ressource
    Dokumenttyp Buch ; Online ; Dissertation / Habilitation
    Dissertation / Habilitation Stuttgart, Univ., Bachelorarbeit, , 2015
    Datenquelle Katalog der Technische Informationsbibliothek Hannover

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  2. Buch ; Online ; Dissertation / Habilitation: Investigating the effect of priming on reading performance on electronic devices

    Angerbauer, Katrin

    2015  

    Verfasserangabe Katrin Angerbauer
    Sprache Englisch
    Umfang Online-Ressource
    Dokumenttyp Buch ; Online ; Dissertation / Habilitation
    Dissertation / Habilitation Stuttgart, Univ., Bachelorarbeit, , 2015
    Datenquelle Ehemaliges Sondersammelgebiet Küsten- und Hochseefischerei

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  3. Artikel ; Online: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations.

    Abdelaal, Moataz / Schiele, Nathan D / Angerbauer, Katrin / Kurzhals, Kuno / Sedlmair, Michael / Weiskopf, Daniel

    IEEE transactions on visualization and computer graphics

    2022  Band 29, Heft 1, Seite(n) 896–906

    Abstract: This work investigates and compares the performance of node-link diagrams, adjacency matrices, and bipartite layouts for visualizing networks. In a crowd-sourced user study ( n=150), we measure the task accuracy and completion time of the three ... ...

    Abstract This work investigates and compares the performance of node-link diagrams, adjacency matrices, and bipartite layouts for visualizing networks. In a crowd-sourced user study ( n=150), we measure the task accuracy and completion time of the three representations for different network classes and properties. In contrast to the literature, which covers mostly topology-based tasks (e.g., path finding) in small datasets, we mainly focus on overview tasks for large and directed networks. We consider three overview tasks on networks with 500 nodes: (T1) network class identification, (T2) cluster detection, and (T3) network density estimation, and two detailed tasks: (T4) node in-degree vs. out-degree and (T5) representation mapping, on networks with 50 and 20 nodes, respectively. Our results show that bipartite layouts are beneficial for revealing the overall network structure, while adjacency matrices are most reliable across the different tasks.
    Sprache Englisch
    Erscheinungsdatum 2022-12-16
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2022.3209427
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  4. Artikel ; Online: Revisited: Comparison of Empirical Methods to Evaluate Visualizations Supporting Crafting and Assembly Purposes.

    Weiss, Maximilian / Angerbauer, Katrin / Voit, Alexandra / Schwarzl, Magdalena / Sedlmair, Michael / Mayer, Sven

    IEEE transactions on visualization and computer graphics

    2021  Band 27, Heft 2, Seite(n) 1204–1213

    Abstract: Ubiquitous, situated, and physical visualizations create entirely new possibilities for tasks contextualized in the real world, such as doctors inserting needles. During the development of situated visualizations, evaluating visualizations is a core ... ...

    Abstract Ubiquitous, situated, and physical visualizations create entirely new possibilities for tasks contextualized in the real world, such as doctors inserting needles. During the development of situated visualizations, evaluating visualizations is a core requirement. However, performing such evaluations is intrinsically hard as the real scenarios are safety-critical or expensive to test. To overcome these issues, researchers and practitioners adapt classical approaches from ubiquitous computing and use surrogate empirical methods such as Augmented Reality (AR), Virtual Reality (VR) prototypes, or merely online demonstrations. This approach's primary assumption is that meaningful insights can also be gained from different, usually cheaper and less cumbersome empirical methods. Nevertheless, recent efforts in the Human-Computer Interaction (HCI) community have found evidence against this assumption, which would impede the use of surrogate empirical methods. Currently, these insights rely on a single investigation of four interactive objects. The goal of this work is to investigate if these prior findings also hold for situated visualizations. Therefore, we first created a scenario where situated visualizations support users in do-it-yourself (DIY) tasks such as crafting and assembly. We then set up five empirical study methods to evaluate the four tasks using an online survey, as well as VR, AR, laboratory, and in-situ studies. Using this study design, we conducted a new study with 60 participants. Our results show that the situated visualizations we investigated in this study are not prone to the same dependency on the empirical method, as found in previous work. Our study provides the first evidence that analyzing situated visualizations through different empirical (surrogate) methods might lead to comparable results.
    Sprache Englisch
    Erscheinungsdatum 2021-01-28
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 1941-0506
    ISSN (online) 1941-0506
    DOI 10.1109/TVCG.2020.3030400
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Buch ; Online: Comparative Evaluation of Bipartite, Node-Link, and Matrix-Based Network Representations

    Abdelaal, Moataz / Schiele, Nathan D. / Angerbauer, Katrin / Kurzhals, Kuno / Sedlmair, Michael / Weiskopf, Daniel

    2022  

    Abstract: This work investigates and compares the performance of node-link diagrams, adjacency matrices, and bipartite layouts for visualizing networks. In a crowd-sourced user study (n = 150), we measure the task accuracy and completion time of the three ... ...

    Abstract This work investigates and compares the performance of node-link diagrams, adjacency matrices, and bipartite layouts for visualizing networks. In a crowd-sourced user study (n = 150), we measure the task accuracy and completion time of the three representations for different network classes and properties. In contrast to the literature, which covers mostly topology-based tasks (e.g., path finding) in small datasets, we mainly focus on overview tasks for large and directed networks. We consider three overview tasks on networks with 500 nodes: (T1) network class identification, (T2) cluster detection, and (T3) network density estimation, and two detailed tasks: (T4) node in-degree vs. out-degree and (T5) representation mapping, on networks with 50 and 20 nodes, respectively. Our results show that bipartite layouts are beneficial for revealing the overall network structure, while adjacency matrices are most reliable across the different tasks.

    Comment: 11 pages, 7 figures, IEEE VIS 2022 Conference, Preprint
    Schlagwörter Computer Science - Human-Computer Interaction
    Thema/Rubrik (Code) 004
    Erscheinungsdatum 2022-08-08
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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